Evidence map›Paper›PMID 29559733›Full record

ArticleBritish journal of cancer2018

Nationwide comprehensive human papillomavirus (HPV) genotyping of invasive cervical cancer.

Camilla Lagheden, Carina Eklund, Helena Lamin, Sara Nordqvist Kleppe, Jiayao Lei, K Miriam Elfström, Karin Sundström, Bengt Andrae, Pär Sparén, Joakim Dillner

Registry-linked trialAbstract read
In one paragraph

Article in British journal of cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06283875 (A Prospective, Single Center Clinical Study on the Clinical Significance of Personalized ctDNA-MRD in Predicting the Efficacy and Monitoring the Risk of Recurrence of Cervical Cancer), which is not on this map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT06283875 not yet recruitingnot on this mapstarted 2024, after this paper: background citation

A Prospective, Single Center Clinical Study on the Clinical Significance of Personalized ctDNA-MRD in Predicting the Efficacy and Monitoring the Risk of Recurrence of Cervical Cancer

Typeobservational_patient_registrySponsorGeneplus-Beijing Co. Ltd.Ran2024 to 2029Enrolled80ConditionsOvarian Cancer
3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Human papillomavirus negative high grade cervical lesions and cancers: Suggested guidance for HPV testing quality assurance.Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Camilla LaghedenDepartment of Laboratory Medicine, Karolinska Institutet, 171 77, Stockholm, Sweden.
Carina EklundDepartment of Laboratory Medicine, Karolinska Institutet, 171 77, Stockholm, Sweden.
Helena LaminKarolinska University Laboratory, Karolinska University Hospital, 171 76, Stockholm, Sweden.
Sara Nordqvist KleppeDepartment of Laboratory Medicine, Karolinska Institutet, 171 77, Stockholm, Sweden.
Jiayao LeiDepartment of Medical Epidemiology & Biostatistics, Karolinska Institutet, 171 77, Stockholm, Sweden.
K Miriam ElfströmDepartment of Laboratory Medicine, Karolinska Institutet, 171 77, Stockholm, Sweden.
Karin SundströmDepartment of Laboratory Medicine, Karolinska Institutet, 171 77, Stockholm, Sweden.
Bengt AndraeDepartment of Medical Epidemiology & Biostatistics, Karolinska Institutet, 171 77, Stockholm, Sweden.
Pär SparénDepartment of Medical Epidemiology & Biostatistics, Karolinska Institutet, 171 77, Stockholm, Sweden.
Joakim DillnerDepartment of Laboratory Medicine, Karolinska Institutet, 171 77, Stockholm, Sweden. Joakim.Dillner@sll.se.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Swedish National Cervical Screening Registry collects and evaluates comprehensive, nationwide health data to optimise organised cervical cancer prevention. Since all cervical cancer specimens are saved in biobanks, population-based data from the specimens should be available for analysis and linkage with other health information.

methodsWe identified all cervical cancers diagnosed in Sweden during 2002-2011 (4254 confirmed cases) and requested the tissue blocks to retrieve human papillomavirus (HPV) genotype data using general primer PCR with Luminex genotyping and real-time PCR targeting the E6/E7 regions of HPV16/18.

resultsWe obtained blocks from 2932/4254 (69%) of cases. Valid HPV genotyping data was retrieved for 2850 cases (97%). The most common type was HPV16 (60%), followed by HPV18 (19%), HPV45 (7%), HPV31 (3%), HPV33 (2%), HPV52 (2%), HPV39 (1%), HPV70 (1%), HPV56 (1%), HPV35 (1%), HPV58 (1%) and HPV59 (1%). Ninety-six percent of all HPV-positive cases had a single infection. Eighty-nine cases were HPV-positive only when testing for the HPV16/18-E6/E7 region.

conclusionsWe present one of the largest series of HPV-genotyped cervical cancers to date. The systematic collection of cervical cancer HPV genotyping data by the screening registry will facilitate prevention and monitoring of HPV type-specific disease burden.

Indexed as

Early Detection of CancerDNA, ViralFemaleGenotypeHumansOncogene Proteins, ViralPapillomaviridaePapillomavirus E7 ProteinsPapillomavirus InfectionsRepressor ProteinsSwedenUterine Cervical NeoplasmsDNA, ViralE6 protein, Human papillomavirus type 16oncogene protein E7, Human papillomavirus type 16Oncogene Proteins, ViralPapillomavirus E7 ProteinsRepressor Proteins

Identifiers

PMID29559733
PMCPMC5959883

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.